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Solving the Paradox of Public Cloud Data Security

IT Toolbox

The biggest data risks need agile action. Here’s how cloud-native data security platforms help. The post Solving the Paradox of Public Cloud Data Security appeared first on Spiceworks.

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The Agile Data Center

Eric D. Brown

I participated in the #DataCtrChat Twitter chat last week to join in on the conversation about the Agile Data Center. The #DataCtrChat is a great one to be a part of, especially if you’re interested in the data center. The question was: What differentiates an Agile Data Center from a traditional data center?

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5 Decisive Questions to Ask Your Managed Security Services Provider (MSSP)

Social, Agile and Transformation

I’m a digital transformation, product, technology, and data/AI leader, but I don’t count information security as a top area of expertise. But when it comes to

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.

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Building the Agile Data Center

Eric D. Brown

T he modern data center is a complex environment with many different systems and many different objectives. The data center exists to provide an organization with the networking, storage, processing and connectivity features needed to operate in the fast paced, data-driven world we live in today.

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Streamlining IT for agility

CIO Business Intelligence

Here, agility is essential, and smart IT leaders are doubling down on efforts to streamline IT, whether that involves reprioritizing projects and realigning the IT portfolio, rationalizing applications and pursuing cloud-native approaches, increasing automation through DevOps or AIOps adoption, or overhauling the structure of IT operations.

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